Seqanswers Leaderboard Ad

Collapse

Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • Calculating coverage based on full insert size from paired-end data

    Hi! all,

    I would like to calculate coverage from paired-end data. I can do this with bedtools but I want to make sure of one thing. That is to include full length insert in the coverage. For instance, I have 2 x 100 bp paired-end sequencing data and my average insert size is 500 bp. When I calculate the coverage I want to make sure that I include unsequenced part between two reads.


    Code:
    Read1       unsequenced part                Read2
    --------->|-------------------------------|<-----------
    100 nt    |         300 nt                |   100 nt
    How can I make sure that coverage calculation includes unsequenced 300 nt part in a proper pair. Also, Is there a way of calculating coverage for both properly paired reads and singletons at the same time. Any tool is ok, Perl script, bedtools, samtools, bamtools etc.

    Thank you for suggestions in advance.

  • #2
    Prolly way to late, but it might help others, here's a script I wrote recently to do just that. Note that it produces a SAM file with all sequences just N's, and a CIGAR string of just M's.



    Enjoy,

    Philip

    Comment


    • #3
      Thanks Philip. It's not too late. It's good to check the same thing with different approaches. I wil give a try. Best,

      Comment


      • #4
        BBMap has a "physcov" flag that allows it to report physical rather than sequenced coverage. It can be used directly in BBMap, or with pileup, if you already have a sam file. For example:

        pileup.sh in=mapped.sam covstats=coverage.txt

        Comment

        Latest Articles

        Collapse

        • seqadmin
          Current Approaches to Protein Sequencing
          by seqadmin


          Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...
          04-04-2024, 04:25 PM
        • seqadmin
          Strategies for Sequencing Challenging Samples
          by seqadmin


          Despite advancements in sequencing platforms and related sample preparation technologies, certain sample types continue to present significant challenges that can compromise sequencing results. Pedro Echave, Senior Manager of the Global Business Segment at Revvity, explained that the success of a sequencing experiment ultimately depends on the amount and integrity of the nucleic acid template (RNA or DNA) obtained from a sample. “The better the quality of the nucleic acid isolated...
          03-22-2024, 06:39 AM

        ad_right_rmr

        Collapse

        News

        Collapse

        Topics Statistics Last Post
        Started by seqadmin, 04-11-2024, 12:08 PM
        0 responses
        18 views
        0 likes
        Last Post seqadmin  
        Started by seqadmin, 04-10-2024, 10:19 PM
        0 responses
        22 views
        0 likes
        Last Post seqadmin  
        Started by seqadmin, 04-10-2024, 09:21 AM
        0 responses
        16 views
        0 likes
        Last Post seqadmin  
        Started by seqadmin, 04-04-2024, 09:00 AM
        0 responses
        46 views
        0 likes
        Last Post seqadmin  
        Working...
        X